Fetch.ai: An Architecture for Modern Multi-Agent Systems
Abstract
Recent surges in LLM-driven intelligent systems largely overlook decades of foundational multi-agent systems (MAS) research, resulting in frameworks with critical limitations such as centralization and inadequate trust and communication protocols. This paper introduces the Fetch.ai architecture, an industrial-strength platform designed to bridge this gap by facilitating the integration of classical MAS principles with modern AI capabilities. We present a novel, multi-layered solution built on a decentralized foundation of on-chain blockchain services for verifiable identity, discovery, and transactions. This is complemented by a comprehensive development framework for creating secure, interoperable agents, a cloud-based platform for deployment, and an intelligent orchestration layer where an agent-native LLM translates high-level human goals into complex, multi-agent workflows. We demonstrate the deployed nature of this system through a decentralized logistics use case where autonomous agents dynamically discover, negotiate, and transact with one another securely. Ultimately, the Fetch.ai stack provides a principled architecture for moving beyond current agent implementations towards open, collaborative, and economically sustainable multi-agent ecosystems.
Cite
@article{arxiv.2510.18699,
title = {Fetch.ai: An Architecture for Modern Multi-Agent Systems},
author = {Michael J. Wooldridge and Attila Bagoly and Jonathan J. Ward and Emanuele La Malfa and Gabriel Paludo Licks},
journal= {arXiv preprint arXiv:2510.18699},
year = {2025}
}
Comments
26 pages, figures, code examples